Architect and govern agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams. Demonstrated awareness of the LLM inference competitive landscape, with a track record of applying industry benchmarks to drive platform improvements communicate technical trade-offs clearly to senior engineering and business stakeholders - this role presents upward regularly.